def get_speed_by_day(all_rows, day):
timestamps = pd.date_range(start=day + '001500',
end=day + '235959',
freq='30Min')
cols = ['start_time', 'location']
speeds = []
if len(all_rows) == 0:
return speeds
delta_t = 60
for i in range(len(timestamps)):
start_time = timestamps[i].to_datetime() - datetime.timedelta(minutes=delta_t / 2)
end_time = timestamps[i].to_datetime() + datetime.timedelta(minutes=delta_t / 2)
rows = [x for x in all_rows if date2str(start_time) <= x[0] <= date2str(end_time)]
if len(rows) == 0:
speeds.append({
'time': date2str(timestamps[i]),
'speed': 0
})
continue
rows = merge_locations_by_date([dict(list(zip(cols, row))) for row in rows])
get_delta_by_day(rows)
speed = entropy(rows, delta_t, [start_time, end_time])
speeds.append({
'time': date2str(timestamps[i]),
'speed': speed
})
return speeds
def get_speed_by_day_at_change_point(all_rows, day):
cols = ['start_time', 'location']
speeds = []
results = merge_locations_by_date([dict(list(zip(cols, row))) for row in all_rows])
points = set()
for location in results:
points.add(location['start_time'])
points.add(location['end_time'])
points = [str2date(x) for x in sorted(points)]
if len(all_rows) == 0:
return speeds
delta_t = 60
for i in range(len(points)):
start_time = points[i] - datetime.timedelta(minutes=delta_t / 2)
end_time = points[i] + datetime.timedelta(minutes=delta_t / 2)
rows = [x for x in all_rows if date2str(start_time) <= x[0] <= date2str(end_time)]
if len(rows) == 0:
speeds.append({
'time': date2str(points[i]),
'speed': 0
})
continue
rows = merge_locations_by_date([dict(list(zip(cols, row))) for row in rows])
get_delta_by_day(rows)
speed = entropy(rows, delta_t, [start_time, end_time])
speeds.append({
'time': date2str(points[i]),
'speed': speed
})
return speeds
def get_speed_by_day(all_rows, day):
timestamps = pd.date_range(start=day + '001500',
end=day + '235959',
freq='30Min')
cols = ['start_time', 'location']
speeds = []
if len(all_rows) == 0:
return speeds
delta_t = 60
for i in range(len(timestamps)):
start_time = timestamps[i].to_datetime() - datetime.timedelta(minutes=delta_t / 2)
end_time = timestamps[i].to_datetime() + datetime.timedelta(minutes=delta_t / 2)
rows = [x for x in all_rows if date2str(start_time) <= x[0] <= date2str(end_time)]
if len(rows) == 0:
speeds.append({
'time': date2str(timestamps[i]),
'speed': 0
})
continue
rows = merge_locations_by_date([dict(list(zip(cols, row))) for row in rows])
get_delta_by_day(rows)
speed = entropy(rows, delta_t, [start_time, end_time])
speeds.append({
'time': date2str(timestamps[i]),
'speed': speed
})
return speeds
def location_by_uid_day_stop(uid, day):
day = '201312' + day
cols = ['start_time', 'location']
db.ping(True)
cursor = db.cursor()
prepare_sql = """select start_time, location
from location_logs_with_date
where uid = %s and log_date = %s order by start_time"""
cursor.execute(prepare_sql, (uid, day))
rows = cursor.fetchall()
results = merge_locations_by_date([dict(list(zip(cols, row))) for row in rows])
get_delta_by_day(results)
results = get_stop_by_day(results)
return make_response(dumps(results))
def location_by_uid_day_stop(uid, day):
day = '201312' + day
cols = ['start_time', 'location']
db.ping(True)
cursor = db.cursor()
prepare_sql = """select start_time, location
from location_logs_with_date
where uid = %s and log_date = %s order by start_time"""
cursor.execute(prepare_sql, (uid, day))
rows = cursor.fetchall()
results = merge_locations_by_date([dict(list(zip(cols, row))) for row in rows])
get_delta_by_day(results)
results = get_stop_by_day(results)
return make_response(dumps(results))
def entropy_by_uid_day(uid, day):
day = '201312' + day
cols = ['start_time', 'location']
db.ping(True)
cursor = db.cursor()
prepare_sql = """select start_time, location
from location_logs_with_date
where uid = %s and log_date = %s order by start_time"""
cursor.execute(prepare_sql, (uid, day))
rows = cursor.fetchall()
results = merge_locations_by_date([dict(list(zip(cols, row))) for row in rows])
get_delta_by_day(results)
moves = get_moves_by_day(results)
result = []
for move in moves:
for location in move:
result.append({
'entropy': transient_entropy(location, move),
'time': location['start_time']
})
return make_response(dumps(result))
if len(cur_move) > 1:
moves.append(cur_move)
cur_move = []
last_endtime = None
else:
start_time = str2date(record['start_time'])
end_time = str2date(record['end_time'])
if last_endtime is None:
cur_move.append(record)
last_endtime = end_time
else:
delta = (start_time - last_endtime).total_seconds() / 60
if delta < H2:
cur_move.append(record)
last_endtime = end_time
else:
if len(cur_move) > 1:
moves.append(cur_move)
cur_move = []
last_endtime = None
return moves
if __name__ == '__main__':
import json
from get_stop import get_delta_by_day
import pprint
data = json.load(open('31430787_01.json'))
get_delta_by_day(data)
pprint.pprint(get_moves(data))